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    Case 3.4 Pampers Develops a Rash Regression using SPSS

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    Case 3.4 Pampers Develops a Rash - A Rash Share of Market Share in your text (pages 688-689). use SPSS and the SPSS data (Case3.4Pampers_Data.Sav).

    In the Group Project in Unit 4, Crosstabs were used to examine how the various independent variables were related to the development of a brand preference. Using the higher level analytic tool of regression, examine these relationships again and see if you learn anything different.

    Interpret your findings for management: What variables play the biggest role in developing brand preference? Does this change your recommendations to management? What recommendations to management would you make based on this analysis?

    Post your tables and a 1-2 paragraph summary.

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    Solution Preview

    See the attached file for complete solution. The text here may not be copied exactly as some of the symbols / tables may not print. Thanks

    SPSS Output: Regression Analysis
    Dependent Variable: Brand Preference
    Independent Variables: Count Per Box, Price Charged, Value, Unisex vs. Separate Sex, Style, Absorbency, Leakage, Comfort, Taping

    The Descriptive statistics provide information about the mean and standard deviation of the variables used for regression analysis.

    The Correlation table provides coefficient of correlation between all pairs of variables used for regression analysis. Whether the correlation coefficient is statistically significant or not can be seen from the sig (1-tail) values. All correlation coefficients with sig values less than 0.05 are significant.

    Summary table of variables: The variables entered in the ...

    Solution Summary

    The solution provides detailed data analysis for the Pampers case using SPSS output. The SPSS output is attached. The relevant charts and statistics copied to the word document and are interpreted to make sense from the output. The relevant analysis conducted and explained include mean & standard deviation, correlation table, summary table of variables, model summary (R-Square), ANOVA Table, coefficients table.